I followed an example of the MATLAB KNN classifier with 10 fold cross validation, I am lost at the stage of computing the model's performance, Please kindly look at my code below and advice on how i ...

I followed an example of the MATLAB KNN classifier with 10 fold cross validation, I am lost at the stage of computing the model's performance, Please kindly look at my code below and advice on how i ...

I'm using a confusion matrix that is working just fine until I get to a specific part of my numpy arrays.
The ground truth results are stored in an array called y_test, while the classfiers' results ...

I'm new to use Orange GUI. I test some data with old labels such as cluster ID. Then I use K-means clustering to generate new data with the new attribute produced by new labels of cluster ID. But the ...

I would like to analyze quantitatively the trade-off between omission and commission errors with Pareto Boundary for low resolution maps. So far, I have a confusion matrix where my reference data are ...

I have this data frame called conf_mat with two columns including predicted values and reference values in each objects. I have 20 objects in this dataframe.
dput(Conf_mat)
structure(list(Predicted ...

I would like to build a confusion matrix for multiclass multilabel classification to calculate then precision, recall and F1.
One idea is to build it from all combinations which come in training and ...

Is there any way of choosing the best threshold while computing the confusion matrix so that number of false positives and false negatives get minimized (to get the best possible combination)?
Till ...

I have millions of confusion matrices. Which data mining method I should use to summarize them or find the relationship between these matrices?
I would be thankful if you can give me a hint that can ...

In R caret library, if I got a confusion matrix like this below, if there a way to retrieve the overall accuracy 0.992? I can't get this single value out, since I need to store this value and use it ...

I am trying to learn how caret works by following Max Khun's Applied Predictive Modeling book, but was not able to understand how caret's confusionMatrix function works.
I trained the training data ...

I am working on a spam filter mining project and I am currently using NaiveBayesMultinomial classifier for classify spam from non-spam by count the frequency of word occurrence.
The thing is WEKA set ...

I have problem about calculating the precision and recall for classifier in matlab. I use fisherIris data (that consists of 150 datapoints, 50-setosa, 50-versicolor, 50-virginica). I have classified ...

I've just recently started playing around with the random forest package in R. After growing my forest, I tried predicting the response using the same dataset (ie the training dataset) which gave me a ...

I want to plot a confusion matrix, but, I don't want to just use a heatmap, because I think they give poor numerical resolution. Instead, I want to also plot the frequency in the middle of the square. ...

I'm trying to get good accuracy using WEKA and its classification options.
by using this method I can not cover all options and this is why I'm afraid I could miss the optimal classification to get ...